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pro vyhledávání: '"Núñez, José Carlos Rosales"'
This work explores the capacities of character-based Neural Machine Translation to translate noisy User-Generated Content (UGC) with a strong focus on exploring the limits of such approaches to handle productive UGC phenomena, which almost by definit
Externí odkaz:
http://arxiv.org/abs/2110.12552
This work takes a critical look at the evaluation of user-generated content automatic translation, the well-known specificities of which raise many challenges for MT. Our analyses show that measuring the average-case performance using a standard metr
Externí odkaz:
http://arxiv.org/abs/2110.12551